Ahmed Hassebo, Ph.D.

Visiting Assistant Professor

Ahmed Hassebo


Ahmed Hassebo is a visiting assistant professor in the department of electrical and computer engineering. He is teaching a range of electrical engineering courses.

Research Overview

Hassebo’s research focuses on exploring and assessing the feasibility of utilizing both currently existing commercial 4G LTE cellular networks and future evolving 5G cellular technologies to support emerging massive IoT (MIoT) applications with particular emphasis on mission-critical applications with strict latency and reliability requirements.

Select Publications

A. Hassebo, A. Rezk, and M. Ali, “A Hybrid Uplink Scheduling Approach for Supporting Mission-Critical Smart Grid applications in Commercial 4G Cellular Networks”, 2018 9th IEEE Annual UEMCON, NY, 2018.

A. Hassebo, A. A. Mohamed, R. Dorsinvelle and M. A. Ali, “5G-based Converged Electric Power Grid and ICT Infrastructure,” 2018 IEEE 5G World Forum (5GWF), Silicon Valley, CA, 2018, pp. 33-37.

A. Hassebo, M. Obaidat and M. A. Ali, “Commercial 4G LTE cellular networks for supporting emerging IoT applications,” 2018 Advances in Science and Engineering Technology International Conferences (ASET), Abu Dhabi, 2018, pp. 1-6.

Teaching Focus

Hassebo’s core teaching focuses are analog and digital telecommunication systems, probability theory, MATLAB programming, electric signals/systems and analog and digital electronics.

Previous Roles

  • Adjunct Faculty, Math, Engineering and Computer Science Dept., LaGuardia Community College of CUNY
  • Adjunct Faculty, Electrical Engineering and Telecomm Technology Dept., NYC College of Technology of CUNY
Ahmed Hassebo


(219) 785-5477


Office Location:

  • Hammond Campus, POTT 315C
  • Westville Campus, TECH 039


  • Ph.D. – Electrical Engineering, City College of City University of New York
  • M.Phil. – Electrical Engineering, City College of City University of New York
  • B.S. – Electrical Engineering, Al-Azhar University, Cairo, Egypt

Areas of Expertise

  • Wireless Communications Internet of Things Mission Critical Smart Grid Applications
  • Dynamic Resource Allocation Algorithms 4G/5G Resource Allocation

Credentials, Accreditations & Awards

  • Best Paper Award, IEEE UEMCON, 2018